18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Lexicon-based Browsers for Searching in News Video Archives
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
M. Worring, University of Amsterdam, The Netherlands
In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a semantic similarity space, a semantic thread space, and browsers to explore them. The search system is evaluated within the TRECVID benchmark. We obtain a top-3 result for 19 out of 24 search topics. In addition, we obtain the highest mean average precision of all search participants.
Citation:
M. Worring, C.G.M. Snoek, D.C. Koelma, G.P. Nguyen, O. de Rooij, "Lexicon-based Browsers for Searching in News Video Archives," icpr, vol. 1, pp.1256-1259, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006